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Academic Institutions Launch Groundbreaking Healthcare AI Challenge

Imaging Technology

Participating healthcare professionals will be granted access to the Healthcare AI Challenge that features late breaking AI solutions they can assess for effectiveness on specific medical tasks, such as providing medical image interpretation, in a simulated environment.

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Meet the Minnies 2024 semifinal candidates

AuntMinnie

tesla MRI AI body composition analysis Cardiac PET Cryo/thermoablation CT colonography Genicular artery embolization Hyperpolarized xenon-129 MRI PET/MRI Photon-counting CT Radiomics Theranostics Whole-body MRI screening Image of the Year 3D PET/MR image. Francisco, et al, Emergency Radiology , April 26, 2024.

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New AI Tool Could Help Identify Dementia Risk

Imaging Technology

Professor of Clinical Ophthalmology at the University of Edinburgh and NeurEYE co-lead, Baljean Dhillon, said, The eye can tell us far more than we thought possible. This resource is commissioned by Public Health Scotland and hosted by the Edinburgh International Data Facility through EPCC at the University of Edinburgh.

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AI and Machine Learning in Healthcare

Aidoc

By leveraging advanced algorithms, machine learning can identify trends and make connections that were previously unrecognizable, thereby enhancing clinical decision-making and patient care. This proactive approach enables early intervention, ultimately reducing the burden on healthcare systems and improving public health outcomes.